Tags: Resources @ QUBES - Teaching & Reference

Teaching & Reference Material (1-20 of 236)

  1. Citations

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Louise Mead, James Smith, Wendy Johnson, Michael Wiser, Robert Pennock, Amy Lark

    https://qubeshub.org/resources/1004

  2. Avida-ED Lab Book Summer 2017

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Louise Mead, Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Jim Smith, Michael James Wiser, Robert T Pennock

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection)

    https://qubeshub.org/resources/1006

  3. Local Food Literature

    11 Jun 2017 | Teaching & Reference Material | Contributor(s): Josh Nease

    https://qubeshub.org/resources/975

  4. QUBES – A virtual synthesis center catalyzing change in undergraduate quantitative biology education

    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan

    Presentation about QUBES given at HHMI Constellation Meeting: Advancing science students mastery of quantitative skills. 

    https://qubeshub.org/resources/968

  5. Design, Implementation, and Evaluation of Faculty Mentoring Networks: A Model for Promoting Faculty Teaching Scholarship

    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Kristin Jenkins, Alison N Hale, Gabriela Hamerlinck

    NGSS, AP Biology, and Vision & Change all highlight the importance of quantitative skills to understanding biology. The Quantitative Undergraduate Biology Education and Synthesis (QUBES,...

    https://qubeshub.org/resources/966

  6. Faculty Mentoring Networks: A Model for Promoting Teaching Scholarship in Quantitative Biology Education

    06 Apr 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan, Alison N Hale, Arietta Fleming-Davies, Gabriela Hamerlinck, Jeremy M Wojdak, Kristin Jenkins

    Faculty Mentoring Networks (FMNs) are designed to support the development of teaching scholarship by promoting teacher identity, self-efficacy, and knowledge/experience via four core design...

    https://qubeshub.org/resources/964

  7. Reimagining professional development: Faculty mentoring networks as a model for connecting projects and teachers

    13 Mar 2017 | Teaching & Reference Material | Contributor(s): Sam S Donovan

    The Quantitative Undergraduate Biology Education and Synthesis (QUBES) project is working to design, implement, and assess online collaborative communities that promote teaching scholarship. In...

    https://qubeshub.org/resources/962

  8. Pokemon Go and Ecology

    17 Feb 2017 | Teaching & Reference Material | Contributor(s): Elizabeth C Davis-Berg, Joshua Drew, Stephanie Sardelis

    These are resources associated with using Pokemon Go to teach concepts in Ecology.  They can be used from Introductory non-majors classes up through graduate classes.

    https://qubeshub.org/resources/958

  9. Mathematical models and theorems

    01 Feb 2017 | Teaching & Reference Material | Contributor(s): Winfried Just

    In this module we introduce and compare various types of deterministic and stochastic mathematical models of disease transmission. We then illustrate how one can derive predictions of these models...

    https://qubeshub.org/resources/954

  10. Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub

    09 Dec 2016 | Teaching & Reference Material | Contributor(s): Gabriela Hamerlinck, Kristin Jenkins

    Bringing Real Ecological Data into the Classroom: DryadLab on QUBESHub was presented at the annual meeting of the Association of College & University Biology Educators in 2016. 

    https://qubeshub.org/resources/952

  11. The Evolution (and Coevolution) of Flowering Plants

    02 Dec 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Debra Linton, Libby Ellwood, Molly Phillips

    In this laboratory exercise, students will explore the diversity of flower and fruit adaptations that have evolved to accomplish pollination and seed dispersal and investigate the coevolution...

    https://qubeshub.org/resources/950

  12. An Investigation of Island Biogeography using Data from Online Natural History Collections

    02 Dec 2016 | Teaching & Reference Material | Contributor(s): Libby Beckman, Yadeeh Sawyer, Kayce Bell, Joseph Cook

    This module guides students through tests of two fundamental rules of island biogeography using specimens collected from the Alexander Archipelago in Southeastern Alaska. The module was designed...

    https://qubeshub.org/resources/948

  13. Faculty Mentoring Networks: A model for professional development in undergraduate quantitative biology education

    17 Nov 2016 | Teaching & Reference Material | Contributor(s): Melissa Aikens, Sam S Donovan, Arietta Fleming-Davies, Alison N Hale, Gabriela Hamerlinck, Kristin Jenkins, Jeremy M Wojdak

    There is a significant need to design and test alternative models for faculty development around undergraduate science teaching. Existing models for helping faculty adopt evidence-based teaching...

    https://qubeshub.org/resources/943

  14. Integrating Natural History Collections into Undergraduate Education: Creating the Resources and Growing the Community

    14 Nov 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Libby Ellwood, Debra Linton, Molly Phillips, Joseph A. Cook, Joseph Kerski, Karen Powers, Tracy Barbaro, Sam S Donovan, Rob Guralnick, L. Alan Prather

    Natural history collection specimens and associated data provide unique physical and virtual opportunities to engage students in the practice of science in authentic, place-based lessons. We will...

    https://qubeshub.org/resources/940

  15. Confronting the challenges of bringing research data into undergraduate classrooms using online faculty mentoring networks

    07 Nov 2016 | Teaching & Reference Material | Contributor(s): Arietta Fleming-Davies, Gabriela Hamerlinck, Alison N Hale, Tom Langen, Teresa Mourad, Kristin Jenkins, Sam S Donovan

    Using ecological research data in undergraduate courses has many potential benefits for student learning.  Students gain knowledge of ecological concepts, increased understanding of the...

    https://qubeshub.org/resources/933

  16. Incubators: A community based model for improving the usability of bioinformatics learning resources

    07 Nov 2016 | Teaching & Reference Material | Contributor(s): Hayley Orndorf, Bill Morgan, Neal Grandgenett, Mark Pauley, Liz Ryder, Michael Sierk, Robin Wright, Anne Rosenwald, Liz Dinsdale, Eric Triplett, Sam S Donovan

    There are a variety of barriers to faculty participation in scholarly approaches to teaching. Primary among these are the challenges undergraduate faculty face in finding and participating in a...

    https://qubeshub.org/resources/931

  17. Introduction to Probability, Statistics, and Random Processes

    07 Nov 2016 | Teaching & Reference Material | Contributor(s): Hossein Pishro-Nik

    Check out the textbook called Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. From the website: "It is an open access peer-reviewed textbook intended...

    https://qubeshub.org/resources/929

  18. Free Introduction to Python for Data Science Course at DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from their data and get a...

    https://qubeshub.org/resources/927

  19. Free Introduction to R Course at DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this course, you will be ready...

    https://qubeshub.org/resources/925

  20. DataCamp

    06 Nov 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    The Easiest Way to Learn Data Science Online Master data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether you want to learn R, Python...

    https://qubeshub.org/resources/922